Fund Analysis and FOF Screening
HKUDS/Vibe-Trading
Evaluates mutual funds, private funds and ETFs by return, risk and risk-adjusted metrics, style box and drift, and manager quality, then builds FOF portfolios; Chinese text.
Pakistan's mutual fund industry as a dated local panel: two decades of daily NAVs, monthly PKR asset allocation, and a market-implied short rate no other tool derives.
$ npx skills add mvanhorn/printing-press-library --skill pp-mufap -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install mvanhorn/printing-press-library pp-mufap --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .claude/skills && cp -r skills-src/cli-skills/pp-mufap .claude/skills/pp-mufap && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "pp-mufap" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-mufap into .claude/skills/pp-mufap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-mufap", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-mufapType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add mvanhorn/printing-press-library --skill pp-mufap -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install mvanhorn/printing-press-library pp-mufap --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .agents/skills && cp -r skills-src/cli-skills/pp-mufap .agents/skills/pp-mufap && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "pp-mufap" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-mufap into .agents/skills/pp-mufap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-mufap", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mvanhorn/printing-press-library --skill pp-mufap -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install mvanhorn/printing-press-library pp-mufap --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/cli-skills/pp-mufap .cursor/skills/pp-mufap && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "pp-mufap" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-mufap into .cursor/skills/pp-mufap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-mufap", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/mvanhorn/printing-press-library.git --path cli-skills/pp-mufap--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add mvanhorn/printing-press-library --skill pp-mufap -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install mvanhorn/printing-press-library pp-mufap --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/cli-skills/pp-mufap .gemini/skills/pp-mufap && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "pp-mufap" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-mufap into .gemini/skills/pp-mufap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-mufap", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install mvanhorn/printing-press-library pp-mufapInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add mvanhorn/printing-press-library --skill pp-mufap -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .github/skills && cp -r skills-src/cli-skills/pp-mufap .github/skills/pp-mufap && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "pp-mufap" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-mufap into .github/skills/pp-mufap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-mufap", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add mvanhorn/printing-press-library --skill pp-mufap -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install mvanhorn/printing-press-library pp-mufap --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/mvanhorn/printing-press-library.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/cli-skills/pp-mufap .opencode/skills/pp-mufap && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "pp-mufap" agent skill from https://github.com/mvanhorn/printing-press-library/tree/main/cli-skills/pp-mufap into .opencode/skills/pp-mufap/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "pp-mufap", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
pp-mufapPakistan's mutual fund industry as a dated local panel: two decades of daily NAVs, monthly PKR asset allocation, and a market-implied short rate no other tool derives.
Pp Mufap is an agent skill from mvanhorn/printing-press-library. Pakistan's mutual fund industry as a dated local panel: two decades of daily NAVs, monthly PKR asset allocation, and a market-implied short rate no other tool derives. Trigger phrases: pakistan mutual fund nav, mufap fund returns, money market fund yields pakistan, mutual fund asset allocation pakistan, pakistan fund industry aum, use mufap, run mufap.
Its SKILL.md is about 9.7k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Official library of CLIs generated by the CLI Printing Press. Endorsed, tested, and community-contributed. The licence is Apache-2.0.
6 steps, taken from the step headings in SKILL.md.
Read from SKILL.md and the folder at commit 76de244. It shows what the files ask for, not the result of running them.
Pre-approves these tools, so the agent can use them without asking each time:
ReadBashFrom allowed-tools in the SKILL.md frontmatter.
Shell commands in SKILL.md call:
goclaudenpxFrom the folder's file list and the shell code blocks in SKILL.md.
No URLs in SKILL.md. Its commands use npx, which can reach the network depending on how they are called.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Pp Mufap loads about 9.7k tokens when it runs. Until then it costs about 94 tokens; SKILL.md has 4,424 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
The automated check noted patterns worth knowing about, such as sudo or a known installer.
allowed-tools: Read, BashAutomated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
The full file from mvanhorn/printing-press-library at commit 76de244, republished under its Apache-2.0 licence (© mvanhorn). 4,424 words, ~9,741 tokens.
.claude/skills/pp-mufap/SKILL.md (or your agent's skills folder).<!-- GENERATED FILE — DO NOT EDIT.
This file is a verbatim mirror of library/payments/mufap/SKILL.md,
regenerated post-merge by tools/generate-skills/. Hand-edits here are
silently overwritten on the next regen. Edit the library/ source instead.
See the repository agent guide, section "Generated artifacts: registry.json, cli-skills/". -->
This skill drives the mufap-pp-cli binary. You must verify the CLI is installed before invoking any command from this skill. If it is missing, install it first:
$HOME/.local/bin on macOS/Linux and %LOCALAPPDATA%\Programs\PrintingPress\bin on Windows:npx -y @mvanhorn/printing-press-library install mufap --cli-onlymufap-pp-cli --version$PATH for the agent/runtime that will invoke this skill.If the npx install fails (no Node, offline, etc.), fall back to a direct Go install (requires Go 1.26.6 or newer). This installs into $GOPATH/bin (default $HOME/go/bin), so add that directory to $PATH instead:
go install github.com/mvanhorn/printing-press-library/library/payments/mufap/cmd/mufap-pp-cli@latestIf --version reports "command not found" after install, the runtime cannot see the binary directory on $PATH. Do not proceed with skill commands until verification succeeds.
MUFAP publishes one HTML page per date and nothing else. This CLI walks those dates into a local SQLite panel with an observed_at stamp on every row, then derives series the site never shows: a daily short-rate proxy from money-market fund yields, industry equity exposure in rupees, and cross-sectional return dispersion. It records which dates returned zero rows, so a gap is never mistaken for a zero.
Six of the ten headline capabilities — rates, panel, dispersion, universe, coverage
and dump — read only the local SQLite mirror. They never call MUFAP. Against an empty or
thin mirror they return an empty result at exit code 0:
mufap-pp-cli rates --from 2026-09-01 --to 2026-09-04 --agent
# {"meta":{"source":"local"},"results":[]} exit 0The run: mufap-pp-cli backfill daily --from <date> --to <date> hint is written to stderr
only, which --agent JSON consumers routinely discard. So: an empty results from one of
those six commands means the mirror is thin for that range, not that the industry was quiet.
Backfill the range first, then check coverage, then derive.
Canonical first run:
mufap-pp-cli doctor # config + reachability
mufap-pp-cli amcs --json # 27 AMC GUIDs
mufap-pp-cli backfill daily --from 2026-09-01 --to 2026-09-04 # one request per date
mufap-pp-cli coverage --resource daily-returns --from 2026-09-01 --to 2026-09-04 --agent
mufap-pp-cli rates --from 2026-09-01 --to 2026-09-04 --agent # now non-emptybackfill has three subcommands mirroring three separate resources, and running one does not
populate the others: backfill daily (a daily tab), backfill monthly (the monthly net-assets
panel — where industry AUM lives), backfill allocation (per-fund monthly asset
allocation). It is resumable: each date commits on its own and dates already in the coverage
ledger are skipped unless --force is passed.
The two commands that do not read the mirror, exposure and verify allocation, fetch live
from MUFAP on every run and fan out over the whole industry. Read their entries below before
running either.
Reach for this CLI when you need Pakistani mutual fund data as a time series rather than a single lookup: building a dated panel of fund NAVs, deriving a short-rate proxy, measuring industry asset allocation in rupees, or checking how many funds actually reported on a given date. It is built for research pipelines that care about publication timing and about telling a real zero apart from a missing observation.
Routing the common asks: daily NAVs and returns -> backfill daily then panel; money-market yields -> rates; industry AUM / net assets -> backfill monthly then dump monthly (AUM is the monthly net-assets panel, not the daily NAV panel and not exposure, which covers listed equities only); PKR asset allocation -> backfill allocation then dump allocation, or exposure for the industry equity total.
Do not use this CLI for:
These capabilities aren't available in any other tool for this API.
rates — Derive a daily short-term interest rate series from the cross-section of money-market fund yields.
This is the only daily, backfillable PKR short-rate proxy obtainable without a blocked government source.
mufap-pp-cli rates --from 2026-09-01 --to 2026-09-04 --agentexposure — Total PKR the mutual fund industry holds in listed equities, by month, from per-fund asset allocation.
It is the asset-side counterpart to a mutual-fund net-flow series, enabling a cross-source join no single publisher offers.
mufap-pp-cli exposure --from 2026-07 --to 2026-07 --max-amcs 1 --agentdispersion — Cross-sectional spread of fund returns within a category on each date.
Dispersion is a daily breadth measure that a single-fund page cannot express.
mufap-pp-cli dispersion --category Equity --from 2026-09-01 --to 2026-09-04 --agentbackfill — Fetch the daily fund panel or monthly allocation across a date range into the local store.
Publication timing is what makes a variable admissible as ex-ante, so every row records when it was actually observed.
mufap-pp-cli backfill daily --from 2026-09-03 --to 2026-09-03panel — Query the stored daily NAV and return panel by date, fund, category or sector.
Turns 21 years of single-date HTML pages into one queryable table.
mufap-pp-cli panel --category Equity --from 2026-09-01 --to 2026-09-04 --agent --select date,fund,navcoverage — Show which dates were fetched, which returned zero rows, and which were never attempted.
Distinguishes fetched-and-empty from never-fetched, so a gap is never mistaken for a zero.
mufap-pp-cli coverage --resource daily-returns --from 2026-09-01 --to 2026-09-04 --agentdump — Dump the stored panel, allocation or coverage tables as JSONL for piping, a single JSON array for agents, or CSV.
Lets an analysis pipeline consume the panel directly instead of scraping.
mufap-pp-cli dump daily-returns --from 2026-09-01 --to 2026-09-04 --format json --agentverify allocation — Check that fund asset-class percentages net to 100 and flag months whose percent columns are unpopulated.
A month that fails the invariant is corrupt input, not a weak signal, and must be excluded before modelling.
mufap-pp-cli verify allocation --month 2026-07 --max-amcs 1 --agentuniverse — Report how many funds reported on each date, by sector and category.
A silently narrowing universe fakes verdicts, so width is printed alongside every cross-sectional result.
mufap-pp-cli universe --from 2026-09-01 --to 2026-09-04 --agentfreshness — Detect funds whose published NAV validity date lags the requested date.
Differencing the live view without this check manufactures returns that never happened.
mufap-pp-cli freshness --agentallocation — Per-fund monthly asset allocation in PKR millions and percent
mufap-pp-cli allocation --fund-code <int> --month <M-YYYY> — Asset allocation for one fund in one month.
--fund-code takes the integer fund field from funds by-amc, never the FundID GUID (a GUID returns HTTP 500). --month is required and is M-YYYY: not zero-padded, not ISO.
mufap-pp-cli allocation --fund-code 12766 --month 7-2026 --jsonamcs — Asset management companies (AMCs) registered with MUFAP
mufap-pp-cli amcs — List the 27 asset management companies MUFAP tracks.dates — Reporting periods MUFAP has published
mufap-pp-cli dates — List the Year/Month periods MUFAP has published industry statistics for.funds — Funds managed by an AMC, with category and pricing mechanism
mufap-pp-cli funds — List funds for one AMC (AMCId is the GUID from amcs list)payouts — Announced fund payouts and distributions
mufap-pp-cli payouts — List announced fund payouts and distributions, with the per-unit amount and the ex-NAV the payout is struck against.unitholders — Unit-holder pattern by investor type and sector
mufap-pp-cli unitholders --year <YYYY> — Unit-holder pattern for one calendar yearnetsales — Monthly industry flow, headline and by investor class
mufap-pp-cli netsales monthly --month <1-12> --year <YYYY> — Sales, redemptions and net sales by sector and category in PKR millions, with the sheet's Total row returned separately as an invariant and reconciled under a rounding-aware bound.mufap-pp-cli netsales investor --month <1-12> --year <YYYY> — The same month across the nine investor classes. Partial slice: no net column, and it failed to reconcile against the headline total in 19 of 25 measured months. Never apportion the industry total with it.vps — Voluntary Pension Scheme breakdowns
mufap-pp-cli vps age-wise — VPS allocation broken down by contributor age bandmufap-pp-cli vps retired-cash — Break down Voluntary Pension Scheme assets held as retired cash.mufap-pp-cli vps withdrawals — Report cash withdrawn from Voluntary Pension Scheme funds.Do not use import. It appears in mufap-pp-cli --help as "Import data from JSONL file via API create/upsert calls", but MUFAP publishes no write surface: it is inert generator scaffolding whose own examples are placeholders (import <resource> --input data.jsonl). There is no endpoint behind it.
When you know what you want to do but not which command does it, ask the CLI directly:
mufap-pp-cli which "<capability in your own words>"which scores a natural-language capability query against this CLI's curated feature index by term overlap. Exit code 0 means at least one entry shared a term with the query; exit code 2 means nothing matched — fall back to --help or use a narrower query. There is no confidence floor, so exit 0 is not proof the CLI serves the question: which "book a flight to paris" exits 0 with exposure at score 2. Read the returned score and the entry's description, and confirm the command actually answers the ask before acting on it. --json (and other machine formats) keep the exit-2 contract and write {"matches":[]} on stdout so agents can inspect the envelope without treating a miss as success.
mufap-pp-cli rates --from 2026-09-01 --to 2026-09-04 --agent --select date,median_yield,fund_countReturns one row per date with the cross-sectional median money-market yield and the number of funds behind it, so a thin date is visible rather than silently averaged.
mufap-pp-cli exposure --from 2026-07 --to 2026-07 --max-amcs 1 --agentSums the PKR stocks-and-equities column across every fund, giving the asset-side series to pair against mutual-fund net flows.
mufap-pp-cli verify allocation --month 2026-07 --max-amcs 1 --agentFlags funds whose asset-class percentages do not net to 100 after subtracting liabilities, which the site's own 100% label hides.
mufap-pp-cli universe --from 2026-09-01 --to 2026-09-04 --agent --select date,fund_countPrints how many funds reported per date so a narrowing universe cannot fake a result.
mufap-pp-cli dump daily-returns --from 2026-09-01 --to 2026-09-04 --format jsonlStreams the stored panel as newline-delimited JSON for loading into a research database without re-fetching.
Properties of MUFAP's published tables, each one measured during discovery rather than assumed. Do not simplify them away.
"(4.97)" is -4.97. On 2026-09-04, tab=returns, 96 of 388 rows (24.7%) carried a parenthesised YTD and zero rows carried a leading minus. rates, dispersion, panel, exposure and dump decode it; --raw-values on panel/dump keeps MUFAP's text verbatim. A parser that skips unparseable cells removes exactly the left tail: before this was decoded, equity YTD dispersion on 2026-09-03 read median +3.15 over 17 funds instead of -3.70 over 91 — the sign of the market was inverted.Sector | Category | Fund Name, not the fund name. Fund names are not unique within a date: 49 of 388 rows on 2026-09-04 (12.6%) collide on name alone, mostly because VPS pension funds legitimately repeat one name across their Money Market, Debt and Equity sub-fund series. dump emits the composite as row_key; keying your own table on fund name collapses the pension universe with no error raised anywhere.Fund Name on --tab returns and Fund on all four other tabs. --tab payout has no Validity Date column at all — its date column is Payout Date, so --from/--to select on a different field there. --tab pricing and --tab ter are current reference data rather than a dated panel: they return 551 rows regardless of the date requested, so their row counts are not a universe width.exposure does — and read verify allocation's UNPOPULATED verdict as "no percentages published", not as a failure.TotalPercentage is the literal string "100%", not a computed check; MUFAP displays a passing invariant it never performs. verify allocation computes it.message: "No data found" appears even when data is fully populated. Never gate on it; gate on the parsed row count.netsales monthly returns SectorId 100 / Sector Total separately as total and excludes it from rows; summing it alongside the others double-counts the whole month.Pension Funds (Open-End Funds) and Employer Pension Funds. Summing both overstates pension flow by about 13% — 4,680 rows before de-duplication versus 4,072 after. netsales monthly drops the duplicates and counts them in vps_duplicates_dropped.- did not report; it is not a category that reported zero. Those figures come back as null, never 0. For 2026-05, 33 of 40 rows are non-reporting while the month's total flow is 9,458m.YYYY-MM-DD for the daily and monthly range flags, M-YYYY (not zero-padded, not ISO) for allocation --month, YYYY for unitholders --year, and Mon DD, YYYY as displayed in the table. A wrong encoding returns HTTP 200 with an empty table, or HTTP 500 — never an informative error.No credentials. MUFAP sits behind Cloudflare, so the CLI ships a Chrome-fingerprint HTTP transport that clears the challenge without a browser, a clearance cookie, or any login.
Run mufap-pp-cli doctor to verify setup.
Add --agent to any command. Expands to: --json --compact --no-input --no-color.
Global format flags share one contract on promoted, novel, sync, and --deliver paths:
--json — one JSON document on stdout (sync progress events go to stderr)
--compact — keep identity/status/timestamp fields; does not change the document vs stream shape
--csv / --plain — tabular rows (collection envelopes unwrap to the row array)
--quiet — one identity value per row, no envelope
Pipeable — JSON on stdout, errors on stderr
Filterable — --select keeps a subset of fields. Dotted paths descend into nested structures; arrays traverse element-wise. Critical for keeping context small on verbose APIs:
mufap-pp-cli rates --from 2026-09-01 --to 2026-09-04 --agent --select date,median_yield,fund_count
mufap-pp-cli panel --from 2026-09-01 --to 2026-09-04 --agent --select date,fund,NAVPreviewable — --dry-run shows the request without sending
Non-interactive — never prompts, every input is a flag
Read-only — MUFAP exposes no write surface, so do not use this CLI for create, update, delete, publish, comment, upvote, invite, order, send, or other mutating requests. mufap-pp-cli --help still lists a generated import command ("Import data from JSONL file via API create/upsert calls"): it is inert scaffolding with placeholder examples and no endpoint behind it. Do not use it.
Agents should treat the CLI's path resolver as part of the runtime contract:
Use --home <dir> for one invocation, or set MUFAP_HOME=<dir> to relocate all four path kinds under one root.
Use per-kind env vars only when a specific kind must diverge: MUFAP_CONFIG_DIR, MUFAP_DATA_DIR, MUFAP_STATE_DIR, MUFAP_CACHE_DIR.
Resolution order is per-kind env var, --home, MUFAP_HOME, XDG (XDG_CONFIG_HOME, XDG_DATA_HOME, XDG_STATE_HOME, XDG_CACHE_HOME), then platform defaults.
config contains settings like config.toml and saved profiles. data contains data.db — the local mirror every derived command reads — plus feedback.jsonl and the learning-loop tables. state contains persisted queries and teach.log. cache contains regenerable HTTP/cache files.
This CLI stores no secrets: there is no credentials.toml, no cookie jar on disk, no auth sidecar and no auth command, so relocation never has to move a credential.
Relocating the data dir relocates the mirror. A fresh root starts with an empty data.db, so the mirror-only commands return an empty result at exit 0 until backfill runs against it.
Run mufap-pp-cli doctor --fail-on warn to surface path warnings. agent-context exposes a schema v4 paths block for agents that need the resolved dirs.
For MCP, pass relocation through the MCP host config. The MCP binary does not inherit CLI flags:
{
"mcpServers": {
"mufap": {
"command": "mufap-pp-mcp",
"env": {
"MUFAP_HOME": "/srv/mufap"
}
}
}
}Fleet precedence: an inherited per-kind env var overrides an explicit --home for that kind. Use MUFAP_HOME or per-kind vars as durable fleet levers, and use --home only for a single invocation. Relocation is not reversible by unsetting env vars; move files manually before clearing MUFAP_HOME, or doctor will report the new root while your mirrored data.db sits under the old one.
This CLI ships a self-capturing learning loop. The CLI does its own bookkeeping: every invocation is journaled locally, a failed flag followed by a corrected retry auto-derives a flag_alias candidate, and a teach on a query family without a playbook auto-synthesizes a playbook_candidate from the session's journal. Your job is judgment only: recall first, act on surfaced candidates, teach the final answer, playbook amend when you observe a correction. You never record failures by hand.
recall before any discoveryBefore list/search/drill commands on a new user question, run:
mufap-pp-cli recall "<user's question>" --agentThe response envelope:
{
"query": "...",
"normalized": "<normalized form>",
"query_entities": ["..."],
"found": true | false,
"match_score": 0.0,
"results": [
{ "resource_id": "...", "resource_type": "...", "venue": "...",
"confidence": 2, "entity_match": "exact|partial|unknown",
"source": "taught|preseed|pattern", "warnings": ["..."] }
],
"mismatches": [ /* only when --debug-mismatches */ ],
"warnings": [ /* top-level */ ],
"candidates": [
{ "id": 12, "class": "flag_alias | playbook_candidate",
"summary": "...", "sightings": 3, "last_seen": "...",
"rationale": "...",
"next_action": ["<trial command>", "mufap-pp-cli learnings confirm 12"] }
],
"playbook": {
"query_family": "...",
"playbook": {
"steps": [ { "cmd": "<command with {slot} substitution>", "purpose": "..." } ],
"entity_slots": ["$ENTITY"],
"expected_tool_calls": 3
},
"slots_resolved": { "$ENTITY": { "token": "<live token>", "canonical": "<canonical>" } },
"notes": "<workarounds + gotchas for this query family>"
},
"notes": "<duplicate surface for non-playbook callers>"
}Empty-store short-circuit: if the store has no learnings, playbooks, or candidates yet (recall finds nothing and learnings list and learnings candidates are both empty), skip recall for the rest of this session instead of taxing every query; resume recall-first once something has been taught.
Read candidates, playbook, notes, results[0], and warnings in that order:
if Candidates present (warnings include "candidates_present"):
-> candidates are try-then-confirm, never facts. Follow each candidate's
two-step next_action verbatim: run the trial command first, then run
`learnings confirm <id>` only after the trial verified the behavior.
Reject a wrong candidate with `learnings reject <id>`.
-> NEVER re-teach something recall surfaced as a candidate; confirm or
reject that candidate instead of teaching a duplicate.
-> candidates ride alongside playbooks and resource hits, not instead of
them; continue with the branches below after acting on them.
if Playbook present:
-> READ Playbook.notes verbatim FIRST (workarounds + gotchas the CLI surface doesn't expose)
-> replay Playbook.steps in order, substituting Playbook.slots_resolved entries
for the entity slot tokens. If a step's slot is unresolved, fall back to
discovery for that step only.
-> the Playbook's expected_tool_calls is a budget; if you find yourself running
materially more, record the divergence via `mufap-pp-cli playbook amend`
at end-of-session.
elif Notes present (no Playbook):
-> read Notes verbatim before any discovery step; they carry known gotchas
for this query family even when no structured choreography exists yet.
elif Found AND Results[0].EntityMatch == "exact" AND Results[0].Confidence >= 2:
-> skip discovery; fetch live data for Results[*].ResourceID in parallel
elif Found AND Results[0].EntityMatch == "partial":
-> candidate hint, NOT a hit; read the resource title to validate before trusting
elif (any row in Mismatches[] when --debug-mismatches was passed):
-> treat as cold start; the stored learning is for a different entity
(different canonical resolved from query_entities)
else: // Found == false, no playbook, no notes
-> cold start; run discovery normally; teach the answer afterward (Step 4).
If the family has no playbook yet, that teach auto-synthesizes a
playbook candidate from this session's journal - you do not need to
record one by hand.Playbook and Notes are orthogonal to the per-resource path. A recall response can carry both a Playbook AND a Results[] hit - use both: the Playbook tells you which choreography to run; the resource hits short-circuit specific steps. Default to skipping mismatches; pass --debug-mismatches only when investigating cold-start surprises.
Candidate judgment details: learnings confirm <id> prints the candidate's full payload before materializing it - check that the printed payload matches the behavior you verified. learnings reject <id> tombstones the derivation signature so the same candidate does not resurface. The envelope carries only the few candidates worth acting on now; mufap-pp-cli learnings candidates lists the full open set.
Graceful degradation: if learnings confirm is an unknown command, you are driving an older binary - ignore the candidates guidance and follow the rest of the protocol.
warningslow_confidence: row exists at confidence<2. Treat as a hint, not a skip-discovery hit.resource_not_in_store: the local store doesn't have the resource the learning points at. The match validator couldn't classify entities — direct-fetch and re-evaluate.cross_alias_match (per-result): the row was taught under a different alias and matched the live query's canonical via entity_lookups (e.g., a "USA" teach satisfying a "United States" recall). Trust the resource_id.similar_shape_different_entity:<canonical> (top-level): a structurally matching row exists but its canonical entity differs from the live query's. Treated as cold start; the warning carries the conflicting canonical as a hint, but the row is NOT promoted into Results.ambiguous_alias (top-level): a single query entity resolved to multiple canonicals (e.g., "Cards" → Arizona Cardinals + St. Louis Cardinals). Surface the ambiguity from context before committing to a resource.candidates_present (top-level): the envelope carries a candidates section. Handle it via the candidates branch in Step 2 before anything else.no_learnings_for_query_family: the table had no rows above the Jaccard floor. Pure cold start.teach & after finalizing your response - alwaysTeaching is unconditional. After resolving a query the store could not answer, background-teach the final resource mapping - no call-count threshold, no judging whether it was "worth" learning. The teach is the anchor of the loop: it triggers playbook synthesis for a family without a playbook, and same-referent phrasings fold into one family so near-duplicate teaches do not fragment the store. Fire it after assembling your user-facing response but BEFORE emitting it, with a shell & so the call returns immediately:
mufap-pp-cli teach --query "<user's question>" --resource-type <type> --resource <id1> --resource <id2>
# (append shell `&` to background it)Silent on success. Errors only land in teach.log under the resolved state dir. Teach the most specific resource - if the user asked a broad question and you walked through parent records to find the specific answer, teach the leaf id, not the parent. The CLI uses seeded entity_lookups for cross-alias resolution at recall time, so a teach under one alias (e.g., "Niners") satisfies future queries under another alias (e.g., "49ers", "San Francisco") automatically.
PII rule: teach the structural question with identifiers stripped - never include names, emails, phone numbers, account ids, or other personal identifiers in taught queries or notes. The CLI scans teach queries for obvious email/phone shapes and warns, but does not block; strip before teaching rather than relying on the warning.
You do not need to decide whether a session "deserves" a playbook: a teach on a family without one auto-synthesizes a playbook_candidate from the session's journal, and the next session judges it via confirm/reject. Attach explicit playbook flags only when you already hold choreography worth recording verbatim - workarounds the CLI didn't surface (silently-dropped flags, undocumented params, pagination tricks, payload gotchas). Prefer the integrated one-call form - record the resource learning and the playbook in the same teach invocation:
# Common case: record both the resource learning AND the playbook in one call.
mufap-pp-cli teach \
--query "<user's question>" \
--resource <id> \
--playbook-file ~/playbooks/<shape>.json \
--playbook-notes-file ~/playbooks/<shape>-notes.md
# (append shell `&` to background it)
# Alternate: playbook-only (no resource to record alongside).
mufap-pp-cli teach-playbook \
--query "<user's question>" \
--playbook-file ~/playbooks/<shape>.json \
--notes-file ~/playbooks/<shape>-notes.mdPlaybook files are JSON with steps, entity_slots, expected_tool_calls. Notes files are markdown carrying the gotchas verbatim. File-free callers (MCP-only agents) pass the same content inline: --playbook-json and --playbook-notes on the integrated teach form, --playbook-json and --notes on teach-playbook. On the integrated teach form, the playbook flags are optional - omit them entirely for a resource-only teach. On the standalone teach-playbook form, at least one of the playbook and notes flags must be set; both empty is rejected. Playbooks are keyed on the structural query family (entities stripped) so a recipe taught from one entity-shaped query applies to every other query of the same shape, with slots_resolved binding the live query's canonical at recall time.
When you DO find a playbook on a future recall, treat it as ground truth: replay the steps with slots_resolved substitutions, skip the discovery that the choreography already documents, and read notes before any step.
playbook amend & when your debug response identifies a correctionIf your debug-protocol response identifies a concrete correction the notes or playbook should know — a workaround, an undocumented endpoint shape, a stale field name, observed schema drift, an empty-payload fallback — fire playbook amend BEFORE emitting your user-facing response. Same fire-and-forget posture as teach.
mufap-pp-cli playbook amend \
--query "<exact recall query string>" \
--add-note "<your concrete correction>"
# (append shell `&` to background it)What counts as worth amending: a behavior you OBSERVED this session that future-you would benefit from knowing. Examples worth amending:
{meta, results}, payload nested two levels deeper than the docs claim).What does NOT belong in notes:
The amend command appends to the family's existing notes with a timestamped marker ([amend YYYY-MM-DDTHH:MMZ]: <text>). Multiple amends accumulate; the audit trail is visible. If no playbook exists yet for the family, amend creates a notes-only one (so cold-start corrections still land).
playbook amend notes are designed to potentially flow upstream as shared knowledge in future versions of the Printing Press. Keep them clean of user-identifying content so the upstream-contribution path stays open without retroactive scrubbing:
If a correction is only meaningful with user-specific context, it belongs in a personal note, not in the playbook amend.
mufap-pp-cli learnings stats reports recall hit rate, teach-to-reuse, playbook resolution rate, and candidate confirm/reject counts from the local learn_events table. Rates are null until they have a denominator; everything stays on this machine. Use it to check whether the loop is earning its keep for this CLI.
--no-learn on a single command short-circuits both recall and the teach write path. Use for deterministic agent flows or tests that must not be affected by accumulated learnings.MUFAP_NO_LEARN=true in the environment globally disables the pipeline.When you (or the agent) notice something off about this CLI, record it:
mufap-pp-cli feedback "the --since flag is inclusive but docs say exclusive"
mufap-pp-cli feedback --stdin < notes.txt
mufap-pp-cli feedback list --json --limit 10Entries are stored locally as feedback.jsonl under the resolved data dir. They are never POSTed unless MUFAP_FEEDBACK_ENDPOINT is set AND either --send is passed or MUFAP_FEEDBACK_AUTO_SEND=true. Default behavior is local-only.
Write what surprised you, not a bug report. Short, specific, one line: that is the part that compounds.
Every command accepts --deliver <sink>. The output goes to the named sink in addition to (or instead of) stdout, so agents can route command results without hand-piping. Three sinks are supported:
| Sink | Effect |
|---|---|
stdout | Default; write to stdout only |
file:<path> | Atomically write output to <path> (tmp + rename). Binary-response commands write decoded payload bytes (not the base64 JSON envelope) and print a small JSON receipt on stdout; --json/--csv do not refuse when this sink is set. |
webhook:<url> | POST the output body to the URL (application/json) |
Unknown schemes are refused with a structured error naming the supported set. Webhook failures return non-zero and log the URL + HTTP status on stderr.
A profile is a saved set of flag values, reused across invocations. Use it when a scheduled or recurring agent reuses the same saved flags while providing different input each run.
mufap-pp-cli profile save briefing --json
mufap-pp-cli --profile briefing allocation get --fund-code 12766 --month 7-2026
mufap-pp-cli profile list --json
mufap-pp-cli profile show briefing
mufap-pp-cli profile delete briefing --yesExplicit flags always win over profile values; profile values win over defaults. agent-context lists all available profiles under available_profiles so introspecting agents discover them at runtime.
| Code | Meaning |
|---|---|
| 0 | Success |
| 2 | Usage error (wrong arguments) |
| 3 | Resource not found |
| 5 | API error (upstream issue) |
| 7 | Rate limited (wait and retry) |
| 10 | Config error |
Parse $ARGUMENTS:
help, or --help → show mufap-pp-cli --help outputinstall → ends with mcp → MCP installation; otherwise → see Prerequisites above--agent)go install github.com/mvanhorn/printing-press-library/library/payments/mufap/cmd/mufap-pp-mcp@latestclaude mcp add mufap-pp-mcp — mufap-pp-mcpclaude mcp listwhich mufap-pp-cli
If not found, offer to install (see Prerequisites at the top of this skill).--agent flag:mufap-pp-cli <command> [subcommand] [args] --agentmufap-pp-cli <command> --help.© mvanhorn, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Just SKILL.md in cli-skills/pp-mufap of mvanhorn/printing-press-library.
Open the folder on GitHubat commit 76de244
Pp Mufap next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Pp Mufap this skillmvanhorn/printing-press-library | 2.1k | — | ~9.7k | Automated safety check: Notes | Apache-2.0 | |
| Fund Analysis and FOF ScreeningHKUDS/Vibe-Trading | 35k | — | ~1.2k | Automated safety check: Pass | MIT | |
| Content Dates Auditthedaviddias/Front-End-Checklist | 74k | — | ~691 | Automated safety check: Pass | MIT | |
| Perpetual Funding and Basis TradingHKUDS/Vibe-Trading | 35k | — | ~2.7k | Automated safety check: Pass | MIT | |
| Industry Value-Investing Funnelxbtlin/ai-berkshire | 17k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Industry Investment Research Frameworkxbtlin/ai-berkshire | 17k | — | ~1.4k | Automated safety check: Pass | MIT |
HKUDS/Vibe-Trading
Evaluates mutual funds, private funds and ETFs by return, risk and risk-adjusted metrics, style box and drift, and manager quality, then builds FOF portfolios; Chinese text.
thedaviddias/Front-End-Checklist
Audits article and blog pages for visible publish dates, Article JSON-LD with datePublished and dateModified, and Open Graph time tags, then fixes what is missing.
HKUDS/Vibe-Trading
Analyzes perpetual futures funding rates and spot-futures basis to find carry trades, crowded positioning and sentiment signals, including funding arbitrage between exchanges.
xbtlin/ai-berkshire
Runs a layered value-investing screen on an industry or theme, narrowing from a 30-to-60 company market scan down to 3 final candidates with documented elimination reasons at each layer.
xbtlin/ai-berkshire
Runs a structured industry research workflow: tests an investment logic chain, maps the supply chain, scans listed companies and applies four investors' frameworks to segment leaders.
LeoYeAI/openclaw-master-skills
Meet other AI agents and build relationships on inbed.ai. An agent skill from LeoYeAI/openclaw-master-skills.
mvanhorn/printing-press-library
Desktop automation through the real Rust agent-desktop CLI, published in Printing Press through a small bridge.
mvanhorn/printing-press-library
Search, browse, and download Google Fonts from the terminal via the gfonts CLI.
mvanhorn/printing-press-library
The free, offline Trigger phrases: search 1688 for, find a factory on 1688 for, wholesale price on 1688 for, who is the cheapest supplier on 1688 for, compare 1688 suppliers for, use 1688, run 1688.
mvanhorn/printing-press-library
Inspect known Activity Japan plan IDs or URLs, compare dated prices and sessions, check language-sitemap coverage, and hand off to canonical booking pages.
mvanhorn/printing-press-library
Every Admin By Request portal action, plus a local SQLite mirror of audit, events, inventory and requests for ad-hoc...
mvanhorn/printing-press-library
macOS screen capture, window recording, GIF conversion, and agent evidence bundles from the terminal.
Pakistan's mutual fund industry as a dated local panel: two decades of daily NAVs, monthly PKR asset allocation, and a market-implied short rate no other tool derives. Pp Mufap is an agent skill from mvanhorn/printing-press-library. Pakistan's mutual fund industry as a dated local panel: two decades of daily NAVs, monthly PKR asset allocation, and a market-implied short rate no other tool derives.
Pp Mufap fits situations like: phrases: pakistan mutual fund nav; mufap fund returns; money market fund yields pakistan; mutual fund asset allocation pakistan.
Run `npx skills add mvanhorn/printing-press-library --skill pp-mufap -a claude-code`. Or copy the skill folder (cli-skills/pp-mufap in mvanhorn/printing-press-library) into .claude/skills/pp-mufap in your project. Claude Code loads it when a task matches its description.
Run `npx skills add mvanhorn/printing-press-library --skill pp-mufap -a codex`. Or copy the skill folder (cli-skills/pp-mufap in mvanhorn/printing-press-library) into .agents/skills/pp-mufap in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add mvanhorn/printing-press-library --skill pp-mufap -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/pp-mufap, .gemini/skills/pp-mufap, .github/skills/pp-mufap and .opencode/skills/pp-mufap in your project.
Going by SKILL.md and its folder, Pp Mufap needs the command-line tools its instructions call (go, claude and npx). Our summary lists: Node.js. Its frontmatter pre-approves these tools: Read, Bash.
SKILL.md contains no URLs. Its commands use npx, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
Pp Mufap is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
About 9.7k tokens (SKILL.md is roughly 39k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
Skills that share tags, products or a category with Pp Mufap: Fund Analysis and FOF Screening (HKUDS/Vibe-Trading, 35k stars), Content Dates Audit (thedaviddias/Front-End-Checklist, 74k stars), Perpetual Funding and Basis Trading (HKUDS/Vibe-Trading, 35k stars) and Industry Value-Investing Funnel (xbtlin/ai-berkshire, 17k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
mvanhorn (a GitHub user) maintains it in mvanhorn/printing-press-library, which has 2,056 GitHub stars. The repository holds 506 skills in this directory. The repository was last updated on October 9, 2026.
Source: mvanhorn/printing-press-library on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.